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Build and maintain cloud-native, event-driven full-stack apps using React, TypeScript, AWS Lambda, and AI coding tools for Fortune 500 clients.
Build and maintain data pipelines and BI systems for a Latin American school network, using SQL, Python, and Google Cloud.
Build and improve a SaaS platform for credit collections using Python, Django, and AWS as a founding engineer in a seed-stage fintech startup.
Build and maintain web and mobile apps using modern full-stack architectures; collaborate on scalable solutions in a growth-focused team.
Build and maintain ETL pipelines and SQL databases to consolidate procurement data, then create Qlik/Power BI dashboards that track spending, cash flow, and supplier performance for strategic decisions.
Build end-to-end web and mobile apps using React Native for the front-end and Python/Django with Django REST Framework for the back-end, handling design through deployment and optimization.
Build and maintain scalable data pipelines in Microsoft Fabric/Azure to power analytics and AI for a top North American furniture retailer.
Build and maintain a React/TypeScript frontend and Node.js/NestJS backend for an AI training-data annotation and project-management platform.
Build and maintain enterprise Java Spring Boot microservices and Vue.js frontends, deploying to AWS and Kubernetes while applying AI-assisted development practices.
Build, customize, and maintain Odoo ERP solutions, integrating frontend and backend with Python, PostgreSQL, and REST APIs while ensuring performance and security.
Designs, builds, and maintains end-to-end data pipelines for analytics and reporting on a mortgage platform using SQL, Microsoft Fabric Dataflow Gen2, and ETL tools.
Build and own scalable data pipelines and ML-ready datasets, transforming raw data into reliable inputs for machine learning models.
Build and scale Foody’s full-stack platform to support healthy meal delivery across Latin America, using modern JavaScript, databases, and cloud services.
Builds and maintains Python-based data pipelines for insurance accounting (IFRS 17), transforming and validating actuarial data at scale.
Builds and optimizes scalable ETL pipelines on Azure and Databricks for analytics and BI, using SQL, Python, and CI/CD with Azure DevOps.
Designs, builds, and maintains scalable data pipelines and ETL workflows using Databricks and Apache Spark to support analytics and ML workloads.
Modernize enterprise data systems using Python, Node.js, and ReactJS for a remote-first outsourcing team.
Designs and builds scalable Azure ETL pipelines and data warehouses using Spark, Kafka, Docker, and Kubernetes to ensure reliable data processing and availability.
Builds user-facing AI products end-to-end: responsive front-ends in React/TypeScript, back-ends in Python (FastAPI), and cloud-deployed services on Azure, with AI integration and strong engineering practices.
Build and operate Databricks pipelines and jobs to migrate a data platform from Amazon Redshift, integrating with AWS services like S3, Glue, and Athena.
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